Fayrix Projects

BIOSENCE WEBSTER

Client: Biosense Webster, part of the Johnson & Johnson FAMILY OF COMPANIES, IsraelScope: Building a Machine Learning model trained with a set of 3 566 763 unipolar and bipolar ECG signals to predict ECG strong activation points within a particular selected windows of interest.The result: Over 96% of predicted activations were located within ± 1 ms from actual activation in ECG.